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In the first stage, the measures for distribution line hardening, gas\u2010fired distributed generation (DG) placement, electrical energy storage resource allocation, and tie\u2010switch placement are determined. The second stage minimizes the electricity distribution system load shedding in realized hurricanes to achieve a compromise between operational benefits and investment costs when the dependence of electricity distribution system on the natural gas exists. The proposed stochastic model considers random failures of electricity distribution system lines and random errors in forecasting the load demand. The Monte Carlo simulation is employed to generate multiple scenarios for defining the uncertainties of electricity distribution system. For the sake of simplicity, weather\u2010related outages of natural gas pipelines are considered deterministic. The nonlinear natural gas constraints are linearized and incorporated into the stochastic optimization model. The proposed framework was successfully implemented on an interconnected energy system composed of a 33\u2010bus electricity distribution system and a 14\u2010node natural gas distribution network. Numerical results of the defined case studies and a devised comparative study validate the effectiveness of the proposed framework as well.<\/jats:p>","DOI":"10.1111\/risa.17695","type":"journal-article","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T22:19:41Z","timestamp":1735251581000},"page":"1716-1728","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Resilient gas dependency\u2013based planning of electricity distribution systems considering energy storage systems"],"prefix":"10.1111","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9245-3485","authenticated-orcid":false,"given":"Mostafa","family":"Ghasemi","sequence":"first","affiliation":[{"name":"Centre of Excellence for Power System Automation and Operation, Department of Electrical Engineering Iran University of Science and Technology  Tehran Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Amin","family":"Gilani","sequence":"additional","affiliation":[{"name":"Centre of Excellence for Power System Automation and Operation, Department of Electrical Engineering Iran University of Science and Technology  Tehran Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Hassan","family":"Amirioun","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Shahreza Campus University of Isfahan  Isfahan Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,12,26]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2881954"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.106936"},{"key":"e_1_2_6_4_1","volume-title":"Applications of optimization under uncertainty methods on power system planning problems","author":"Chen B.","year":"2016"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2024.110633"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2019.105719"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/2050-7038.13202"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107214"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3083698"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1049\/gtd2.12144"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2010.2089810"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2022.103975"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.116442"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2820383"},{"key":"e_1_2_6_15_1","doi-asserted-by":"crossref","unstructured":"Hoseinpour M. 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